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K. Simelius, M. Stenroos, L. Reinhardt, J. Nenonen, I. Tierala, M. Makijarvi, L. Toivonen and T. Katila, “Spatiotemporal Characterization of Paced Cardiac Activation with Body Surface Potential Mapping and Self-Organizing Maps,” Physiological Measurements, Vol. 24, No. 3, 2003, pp. 805-816.

has been cited by the following article:

• TITLE: A Survey on Context-Aware Sensing for Body Sensor Networks

  AUTHORS: Barbara T. Korel, Simon G. M. Koo

  KEYWORDS: Context Awareness, Body Sensor Networks, Artificial Neural Networks, Bayesian Networks, Hidden Markov Models

  JOURNAL NAME: Wireless Sensor Network, Vol.2 No.8, August 3, 2010

  ABSTRACT: Context awareness in Body Sensor Networks (BSNs) has the significance of associating physiological user activity and the environment to the sensed signals of the user. The context information derived from a BSN can be used in pervasive healthcare monitoring for relating importance to events and specifically for accurate episode detection. In this paper, we address the issue of context-aware sensing in BSNs, and survey different techniques for deducing context awareness.